Dr. Melissa Littlefield

Professor

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Biography

Melissa Monique Littlefield works at the intersections of science, technology, and culture, focusing on the ways in which scientific and technological solutions are proposed, invented, and imagined for various societal problems. She particularly enjoys exploring the connections between technologies, popular media, and science fiction. Over the past decades, Littlefield has worked in forensic sciences and neurosciences, particularly focusing on technologies related to lie detection, including fMRI and EEG. Her publications include 'Lying Brain: Lie Detection Science and Science Fiction' and 'Instrumental Intimacy: EEG Wearables and Neuroscientific Control.' Additionally, she co-edited significant works such as 'The Neuroscientific Turn: Transdisciplinarity in the Age of the Brain' and 'Art Identification: Forensics, Surveillance, and Identity.' Currently, she is working on a book project that examines wool textiles in mid-century America, titled 'Respun: Wool Survived the Synthetic Revolution.' Littlefield is affiliated with the Beckman Institute and has served as Program Leader for the Neuro Cultures INTERSECT Graduate Training Program.

Research Interests

Courses

Science Technology Studies Literature Science Science Fiction Body Studies Feminist/Science Studies Engl 120: Science Fiction Engl 221: Speculative Futures Engl 300: Writing Literature Engl 475: Literature Disciplines Kines 442: Body, Culture, Society Engl 582: Topics--Writing Bodies Knowledge Kines 594: Representing Bodies

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.